Hamparsum Bozdogan

Hamparsum Bozdogan's AcademicInfluence.com Rankings

Hamparsum Bozdogan

Mathematics

#7502

World Rank

#10191

Historical Rank

Statistics

#874

World Rank

#966

Historical Rank

mathematics Degrees

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Mathematics

Hamparsum Bozdogan's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University

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Hamparsum Bozdogan's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions (1987) (3816)
Choosing the Number of Component Clusters in the Mixture-Model Using a New Informational Complexity Criterion of the Inverse-Fisher Information Matrix (1993) (207)
Mixture-Model Cluster Analysis Using Model Selection Criteria and a New Informational Measure of Complexity (1994) (200)
On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models (1990) (192)
Statistical Data Mining and Knowledge Discovery (2004) (113)
A novel Hybrid RBF Neural Networks model as a forecaster (2014) (98)
Informational complexity criteria for regression models (1998) (93)
Multi-sample cluster analysis using Akaike's Information Criterion (1984) (92)
How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data (2018) (60)
Supply Chain Integrity: A Key to Sustainable Supply Chain Management (2018) (57)
Ideal point discriminant analysis (1987) (55)
Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms (2004) (51)
Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function (2015) (50)
Determining the Number of Component Clusters in the Standard Multivariate Normal Mixture Model Using Model-Selection Criteria. (1983) (50)
Inference Problems With Equivalent Models (1996) (45)
Multivariate Statistical Modeling and Data Analysis. (1988) (37)
Multivariate statistical modeling (1994) (30)
A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification (2015) (27)
Subset selection in vector autoregressive models using the genetic algorithm with informational complexity as the fitness function (1998) (26)
Empirical Econometric Modelling of Food Consumption Using a New Informational Complexity Approach (1997) (25)
FACAIC: Model selection algorithm for the orthogonal factor model using AIC and CAIC (1988) (24)
MULTI-SAMPLE CLUSTER ANALYSIS AND APPROACHES TO VALIDITY STUDIES IN CLUSTERING INDIVIDUALS. (1981) (23)
Information complexity criteria for detecting influential observations in dynamic multivariate linear models using the genetic algorithm (2003) (22)
Choosing the Number of Clusters, Subset Selection of Variables, and Outlier Detection in the Standard Mixture-Model Cluster Analysis (1994) (21)
Information complexity-based regularization parameter selection for solution of ill conditioned inverse problems (2002) (21)
An Expert Model Selection Approach to Determine the “Best” Pattern Structure in Factor Analysis Models (1987) (19)
Multivariate Regression Models with Power Exponential Random Errors and Subset Selection Using Genetic Algorithms With Information Complexity (2008) (17)
Data Adaptive Simultaneous Parameter and Kernel Selection in Kernel Discriminant Analysis Using Information Complexity (2009) (16)
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization (2007) (15)
MULTI-SAMPLE CLUSTER ANALYSIS AS AN ALTERNATIVE TO MULTIPLE COMPARISON PROCEDURES (1986) (14)
Social network analysis of scientific collaborations across different subject fields (2013) (13)
Spatio-temporal traffic queue detection for uninterrupted flows (2019) (12)
Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach : Volume 2 Multivariate Statistical Modeling (1994) (11)
Bayesian Factor Analysis Model and Choosing the Number of Factors Using a New Informational Complexity Criterion (1998) (11)
SELECTING THE NUMBER OF KNOTS IN FITTING CARDINAL B-SPLINES FOR DENSITY ESTIMATION USING AIC (1990) (10)
An implicit enumeration algorithm for mining high dimensional data (2005) (10)
Predictive Subset Selection using Regression Trees and RBF Neural Networks Hybridized with the Genetic Algorithm (2011) (10)
Structural equation modeling (SEM) of categorical and mixed-data using the Novel Gifi transformations and information complexity (ICOMP) criterion (2011) (10)
A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity (2013) (9)
Misspecified Multivariate Regression Models Using the Genetic Algorithm and Information Complexity as the Fitness Function (2012) (8)
On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity (2006) (8)
Measurement and Multivariate Analysis (2014) (8)
Regularized Kernel Discriminant Analysis with Optimally Scaled Data (2002) (7)
A new data adaptive elastic net predictive model using hybridized smoothed covariance estimators with information complexity (2019) (7)
Novel Dimension Reduction Techniques for High-Dimensional Data Using Information Complexity (2016) (7)
Performance of Information Complexity Criteria in Structural Equation Models with Applications (2012) (7)
Hybrid kernel density estimation for discriminant analysis with information complexity and genetic algorithm (2016) (7)
Learning Factor Patterns in Exploratory Factor Analysis Using the Genetic Algorithm and Information Complexity as the Fitness Function (2011) (7)
Multivariate Regressions, Genetic Algorithms, and Information Complexity: A Three Way Hybrid (2002) (6)
Convergence properties of MLE's and asymptotic simultaneous confidence intervals in fitting cardinal B-splines for density estimation (1992) (6)
The use of information-based model evaluation criteria in the GMDH algorithm (1995) (6)
Performance of Model Selection Criteria in Bayesian Threshold VAR (TVAR) Models (2008) (5)
Robust model selection in linear regression models using information complexity (2021) (5)
An adjusted likelihood-ratio approach to the behrens-fisher problem (1986) (5)
Two-Stage Multi-Sample Cluster Analysis as a General Approach to Discriminant Analysis (1987) (5)
Aic-Replacements for Some Multivariate Tests of Homogeneity with Applications in Multisample Clustering and Variable Selection (1994) (5)
Model Selection with Information Complexity in Multiple Linear Regression Modeling (2011) (5)
Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria (2003) (5)
Segmentation of High Dimensional Time-Series Data Using Mixture of Sparse Principal Component Regression Model with Information Complexity (2020) (4)
Robust mixture model cluster analysis using adaptive kernels (2013) (4)
Uncertainty minimization in multi-sensor localization systems using model selection theory (2008) (4)
Hybridized Support Vector Machine and Recursive Feature Elimination with Information Complexity (2018) (4)
On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery (2008) (4)
Theory and methodology of time series analysis (1994) (3)
Variable subset selection via GA and information complexity in mixtures of Poisson and negative binomial regression models (2015) (3)
Correction to “Multi-sample cluster analysis using Akaike's information criterion” (1984) (3)
Kernel PCA for feature extraction with information complexity (2003) (3)
Multi-Sample Cluster Analysis with Varying Parameters Using Akaike's Information Criterion. (1982) (3)
RBF neural networks for classification using new kernel functions (2003) (2)
Multivariate Regression Models for Nonnormal Data : A New Model Selection Approach (1999) (2)
Computational subset model selection algorithms and applications (2004) (2)
MuFeSaC: Learning When to Use Which Feature Detector (2007) (2)
Subsetting Kernel Regression Models Using Genetic Algorithm and the Information Measure of Complexity (2004) (2)
Model selection under misspecification using information complexity (2006) (2)
UTRANS and MTRANS: Marginal and Joint Box-Cox Transformations of Multivariate Data to 'Near' Normality. (1988) (2)
Engineering and scientific applications (1994) (2)
Ordinal Logistic Modeling Using ICOMP as a Goodness-of-Fit Criterion (2004) (2)
A NEW GENERATION MIXTURE - MODEL CLUSTER ANALYSIS USING INFORMATION COMPLEXITY AND GENETIC ALGORITHMS (2006) (2)
Learning structurally discriminant features in 3D faces (2008) (1)
The Semantic Conference Organizer (2003) (1)
Intelligent data mining using kernel functions and information criteria (2002) (1)
Misspecification Resistant Model Selection Using Information Complexity with Applications (2013) (1)
Multivariate statistical modeling and data analysis : proceedings of the Advanced Symposium on Multivariate Modeling and Data Analysis, May 15-16, 1986 (1987) (1)
An adjusted likelihood-ratio algorithm for the Behrens-Fisher problem (1987) (1)
Exploring Multivariate Modality by Unsupervised Mixture of Cubic B-Splines in 1-D Using Model Selection Criteria (2000) (1)
Variable Selection in Heteroscedastic Regression Models Under General Skew-t Distributional Models Using Information Complexity (2020) (1)
Probabilistic discriminant analysis for breast cancer diagnosis using information complexity (2008) (0)
Algorithms An adjusted likelihood-ratio algorithm for the Behrens-Fisher problem (0)
Hybridized model selection with Gifi system for categorical data using the genetic algorithm and information complexity (2022) (0)
Editor’s Forward for the Granger Special Volume (2010) (0)
Data Smoothing Structural Equation Modeling to Study Quality of Life and Model Selection (2022) (0)
Flexible Generalized Mixture Model Cluster Analysis with Elliptically-Contoured Distributions (2014) (0)
’ s Forward for the Granger Special Volume (2010) (0)
Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function (2014) (0)
Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms Hamparsum Bozdogan University of Tennessee, Knoxville, USA (2003) (0)
A Novel Approach to Forecasting High Dimensional S&P500 Portfolio Using VARX Model with Information Complexity (2022) (0)
A novel Hybrid RBF Neural Networks model as a forecaster (2013) (0)
2 Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms (2007) (0)
Ordinal Logistic Modeling Using ICOMP as a Goodness-of-Fit Criterion J. Michael Lanning and Hamparsum Bozdogan University of Tennessee, Knoxville, USA (2003) (0)
Global Principal Component Analysis for Dimensionality Reduction in Distributed Data Mining Hairong Qi, Tse-Wei Wang, and J. Douglas Birdwell University of Tennessee, Knoxville, USA (2003) (0)
Statistical Modeling and Data Mining to Identify Consumer Preferences Francois Boussu1 and Jean Jacques Denimal2 1Ecole Nationale Superieure des Arts et Industries Textiles, Roubaix, and 2University of Sciences and Technologies of Lille, France (2003) (0)

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What Schools Are Affiliated With Hamparsum Bozdogan?

Hamparsum Bozdogan is affiliated with the following schools:

University of Tennessee